daohang fenxiangbox searchbox qikanlogonew daohangnew searchboxnew navrightzone footerzone paper

User subroutines platform development for rubber hyperelastic constitutive models and its application in finite element analysis AITranslate

Beijing University of Chemical Technology; Beijing University of Chemical Technology; Beijing University of Chemical Technology; Beijing University of Chemical Technology; Beijing University of Chemical Technology
AITranslate
Publisher: Elsevier
Share Citation Information Add to Favorites

    Scan to share on WeChat or Moments

Use WeChat scan.
Share with WeChat friends or Moments

Abstract AITranslate

Highlights • A UHYPER and UMAT subroutine integration platform was developed. • Seventy hyperelastic constitutive models (HCMs) were included in the platform. • The UHYPER subroutine result is consistent with the built-in HCM result. • The error between UMAT subroutine result and built-in HCM result is within 5.0%. Aiming at the problem that not enough hyperelastic constitutive models (HCMs) built-in commercial finite element analysis (FEA) software could be utilized, and it is difficult to achieve a high-precision description of the mechanical response behavior of various complex rubber and its composite materials, we developed a UHYPER and UMAT subroutine integration platform based on the user-defined material subroutine function in Abaqus/Standard. The integration platform including 70 HCMs can effectively improve the selection comprehensiveness of HCMs in the material property module of FEA software and the accuracy of simulation results. On the premise that the material parameters are consistent, it is found that the calculation results of the UHYPER subroutine in our integration platform are completely consistent with the calculation results of the built-in HCMs in Abaqus, and the error between the UMAT subroutine result and the built-in model result is within 5.0%. This study indicates the effectiveness and reliability of the user-defined material subroutine integration platform. Graphical abstract Download : Download high-res image (287KB) Download : Download full-size image

KeyWords AITranslate

No data

Basic Information:

DOI:https://doi.org/10.1016/j.commatsci.2024.112885

Chinese Library Classification Number:

Citation Information:

Highlights • A UHYPER and UMAT subroutine integration platform was developed. • Seventy hyperelastic constitutive models (HCMs) were included in the platform. • The UHYPER subroutine result is consistent with the built-in HCM result. • The error between UMAT subroutine result and built-in HCM result is within 5.0%. Aiming at the problem that not enough hyperelastic constitutive models (HCMs) built-in commercial finite element analysis (FEA) software could be utilized, and it is difficult to achieve a high-precision description of the mechanical response behavior of various complex rubber and its composite materials, we developed a UHYPER and UMAT subroutine integration platform based on the user-defined material subroutine function in Abaqus/Standard. The integration platform including 70 HCMs can effectively improve the selection comprehensiveness of HCMs in the material property module of FEA software and the accuracy of simulation results. On the premise that the material parameters are consistent, it is found that the calculation results of the UHYPER subroutine in our integration platform are completely consistent with the calculation results of the built-in HCMs in Abaqus, and the error between the UMAT subroutine result and the built-in model result is within 5.0%. This study indicates the effectiveness and reliability of the user-defined material subroutine integration platform. Graphical abstract Download : Download high-res image (287KB) Download : Download full-size image

quote

GB/T 7714-2015 [1] Xianqi Wan, Yaru Zhang, Qiang Zhang, et al. Computational Materials Science, 2024(237). DOI:10.1016/j.commatsci.2024.112885.
MLA [1] Xianqi Wan, et al., Computational Materials Science, no. 237, 2024, https://doi.org/10.1016/j.commatsci.2024.112885.
APA [1] Xianqi Wan, Yaru Zhang, Qiang Zhang, Liqun Zhang, & Fanzhu Li. (2024). Computational Materials Science(237). https://doi.org/10.1016/j.commatsci.2024.112885
IEEE [1] Xianqi Wan, Yaru Zhang, Qiang Zhang, Liqun Zhang, and Fanzhu Li, Computational Materials Science, no. 237, 2024, doi: 10.1016/j.commatsci.2024.112885.